Power budget calculation using power headroom

ABSTRACT

Methods and computer software are disclosed for determining a power budget for physical channels in a system. The method may include, obtaining a mean and variance of a previously computed power component; determining an estimate of a current power component in a current frame based on the mean and variance of the previously computed power component; and computing a power budget in a current frame using the estimate of the current power component.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. application Ser. No.16/751,902, filed Jan. 24, 2020, which claims priority under 35 U.S.C. §119(e) to U.S. Provisional Pat. App. No. 62/796,260, filed Jan. 24,2019, titled “HSDPA Power Budget Calculation Based on Non-HSDPA PowerHeadroom,” each of which is hereby incorporated by reference in itsentirety for all purposes. This application also hereby incorporates byreference, for all purposes, each of the following U.S. PatentApplication Publications in their entirety: US20170013513A1;US20170026845A1; US20170055186A1; US20170070436A1; US20170077979A1;US20170019375A1; US20170111482A1; US20170048710A1; US20170127409A1;US20170064621A1; US20170202006A1; US20170238278A1; US20170171828A1;US20170181119A1; US20170273134A1; US20170272330A1; US20170208560A1;US20170288813A1; US20170295510A1; US20170303163A1; and US20170257133A1.This application also hereby incorporates by reference U.S. Pat. No.8,879,416, “Heterogeneous Mesh Network and Multi-RAT Node Used Therein,”filed May 8, 2013; U.S. Pat. No. 9,113,352, “HeterogeneousSelf-Organizing Network for Access and Backhaul,” filed Sep. 12, 2013;U.S. Pat. No. 8,867,418, “Methods of Incorporating an Ad Hoc CellularNetwork Into a Fixed Cellular Network,” filed Feb. 18, 2014; U.S. patentapplication Ser. No. 14/034,915, “Dynamic Multi-Access Wireless NetworkVirtualization,” filed Sep. 24, 2013; U.S. patent application Ser. No.14/289,821, “Method of Connecting Security Gateway to Mesh Network,”filed May 29, 2014; U.S. patent application Ser. No. 14/500,989,“Adjusting Transmit Power Across a Network,” filed Sep. 29, 2014; U.S.patent application Ser. No. 14/506,587, “Multicast and BroadcastServices Over a Mesh Network,” filed Oct. 3, 2014; U.S. patentapplication Ser. No. 14/510,074, “Parameter Optimization and EventPrediction Based on Cell Heuristics,” filed Oct. 8, 2014, U.S. patentapplication Ser. No. 14/642,544, “Federated X2 Gateway,” filed Mar. 9,2015, and U.S. patent application Ser. No. 14/936,267, “Self-Calibratingand Self-Adjusting Network,” filed Nov. 9, 2015; U.S. patent applicationSer. No. 15/607,425, “End-to-End Prioritization for Mobile BaseStation,” filed May 26, 2017; U.S. patent application Ser. No.15/803,737, “Traffic Shaping and End-to-End Prioritization,” filed Nov.27, 2017, each in its entirety for all purposes. This document alsohereby incorporates by reference U.S. Pat. Nos. 9,107,092, 8,867,418,and 9,232,547 in their entirety. This document also hereby incorporatesby reference U.S. patent application Ser. No. 14/822,839, U.S. patentapplication Ser. No. 15/828,427, U.S. Pat. App. Pub. Nos.US20170273134A1, US20170127409A1 in their entirety.

BACKGROUND

An overall transmitted signal from a NodeB can be resolved in to threemajor components, namely: R99 Physical Channels, HSDPA PhysicalChannels, and HSUPA DL Physical Channels. The power available for theHigh-Speed Downlink Packet Access (HSDPA) physical channels determinesthe amount and quality of HSDPA data that can be scheduled in thedownlink. The available HSDPA Power in a given frame is the powerremaining after the assigning the power for R99 and High-Speed UplinkPacket Access (HSUPA) DL channels. The below equation defines this as:HSDPA Budget Power=MaxTransmitPower−R99_Power−HSUPA_DL_Power

SUMMARY

Methods and computer software are disclosed for determining a powerbudget for physical channels in a system. In one embodiment, the methodmay include, obtaining a mean and variance of a previously computedpower component; determining an estimate of a current power component ina current frame based on the mean and variance of the previouslycomputed power component; and computing a power budget in a currentframe using the estimate of the current power component.

In some embodiments the power budget is for High-Speed Downlink PacketAccess (HSDPA) physical channels in a Wideband Code Division MultipleAccess (WCDMA) system.

In another embodiment, a non-transitory computer-readable mediumcontains instructions for determining a power budget for physicalchannels in a system. The non-transitory computer-readable medium mayinclude instructions for obtaining a mean and variance of a previouslycomputed power component; determining an estimate of a current powercomponent in a current frame based on the mean and variance of thepreviously computed power component; and computing a power budget in acurrent frame using the estimate of the current power component.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a system diagram showing components for providing a powerbudget for High-Speed Downlink Packet Access (HSDPA) physical channelsin a Wideband Code Division Multiple Access (WCDMA) system, inaccordance with some embodiments.

FIG. 2 is a diagram showing power for different frames, in accordancewith some embodiments.

FIG. 3 is a flow diagram for providing a power budget for High-SpeedDownlink Packet Access (HSDPA) physical channels in a Wideband CodeDivision Multiple Access (WCDMA) system, in accordance with someembodiments.

FIG. 4 is a diagram showing steps used for providing a power budget forHigh-Speed Downlink Packet Access (HSDPA) physical channels in aWideband Code Division Multiple Access (WCDMA) system, in accordancewith some embodiments.

FIG. 5 is a diagram of an enhanced eNodeB for performing the methodsdescribed herein, in accordance with some embodiments.

DETAILED DESCRIPTION

A method is disclosed to optimally compute the Power budget for HSDPAPhysical Channels in WCDMA System. This method helps to avert theSaturation of overall Transmit power, which would disrupt the transmitsignal and therefore affect all the active users. The method also avoidsunderutilization of the overall power and therefore helps to optimallyuse the available power to achieve optimal data throughput. This methoduses the mean and variance of the previously computed non-hsdpa powercomponent to estimate its value in the current frame. This estimate usedto optimally compute the power budget for HSDPA in the current frame.

It is beneficial to dynamically determine how much variation we canexpect in various power components and use the variation to allocatepower effectively. This helps with two problems: avoidance of saturationon the downlink; and efficient use of downlink power. It is believedthat underutilization of power or saturation lead to severe performanceissues, which will be significantly mitigated by the present invention.

In some embodiments, the methods and systems described herein could beimplemented on a base station. The base station includes varioussoftware components that run on processors, including basebandprocessors or general-purpose processors, which software componentsprovide Layer 1 (L1), Layer 2 (L2), Layer 3 (L3), etc. functionalitythat is compliant with features required to be provided by a basestation. The present disclosure anticipates that the methods and systemsdescribed herein could be implemented on a base station in softwarebetween an L1 and an L2 software module, or in conjunction with amonolithic (i.e., combined) L1 and L2.

It should also be appreciated that the methods and systems describedherein could be used for any radio access technology (any “G”),including: 2G; 3G; 4G (LTE); and 5G, and is not limited to WCDMA nodeBs.In addition, the methods and systems described herein could be used fora multi-radio access technology (multi-RAT) node capable of more thanone RAT and including, for example, WCDMA.

The Overall transmitted signal from NodeB can be resolved in to threemajor components, namely: R99 Physical Channels; HSDPA physicalChannels; and HSUPA DL Physical Channels.

The power available for the HSDPA physical channels determines theamount and quality of HSDPA data that can be scheduled in the downlink.

The available HSDPA Power in a given frame is the power remaining afterthe assigning the power for R99 and HSUPA_DL channels.

The R99 physical channels are scheduled with a periodicity of 10 ms andtherefore the HSDPA Power budget calculations must be done at thebeginning of every 10 ms frame boundary.

Due to heavy processing load on the CPU and processing latencies, thepower measurements of R99 and HSUPA_DL components of the current frameare not available for the NodeB scheduler. So HSDPA scheduler mustestimate the current R99 and HSUPA_DL powers based on the previousmeasurement values.

In a typical implementation, this estimation is done by providing someheadroom over the previous measured values.Non_HSDP_Power=R99_Power+HSUPA_DL_PowerNon_HSDP_Power_currentFrame=headroom+Non_HSDPA_Power_prevFrame

In the current implementation headroom values is chosen to be a certainpercentage value of the previous measured value.

For example,headroom=30% of Non_HSDPA_Power_previousFrameSo,Non_HSDPA_currentFrame=0.3*Non_HSDPA_Power_previousFrame+Non_HSDPA_Power_previousFrameNon_HSDP_Power_currentFrame=1.3*Non_HSDPA_Power_previousFrame

The headroom is required to accommodate any rise in the Non_HSDPA_Powercomponents form previous frame to current frame due to R99 Power controland increase in HSUPA DL transmissions. However, having a staticheadroom as mentioned in the equation above poses two problems:

-   -   1. If the jump in the Non_HSDPA_Power is greater than the        pre-defined Headroom, the Overall Power of the Transmit signal        becomes greater than the maximum Transmit Power. As we do not        have Automatic Gain Control (AGC) in our system, this results in        severe distortion of the transmit signal and affects the        performance of all the active users transmitting in the current        frame.    -   2. If the pre-defined Headroom is much greater than the        Non_HSDPA_Power, there will be underutilization of power and        results in degraded data throughput.

FIG. 1 shows a system for performing HSDPA power budget calculations. ARadio Network Controller (RNC) 100 is in communication with a NodeB 101.NodeB 101 includes a scheduler 102 including an HSDPA Power budgetcalculation element 103. Node B 101 also includes a TransmitterProcessing Chain 104 receiving transmit data and power and othertransmit parameters from the Scheduler. The Transmitter Processing Chainis in communication with Power Measurement Unit 105 which is incommunication with a one frame delay 106, which is in communication withthe Scheduler.

FIG. 2 shows three frames 200, 201 and 202. Frame 201 is in a saturationstate, and frame 202 is in an under-utilized state.

Solution to Problem

Method 1:

Our invention is based upon the fact that total non-HS channel power forusers in a cell is predictable for the upcoming frame. It is a randomvariable which is more or less white in nature with a Gaussiandistribution as established in our experiments on an actual cell.

The prediction algorithm treats the non-HS channel power in the previousN frames as a random process and tries to predict the upcoming non-HSchannel power using a linear predictor.x(i+1)pred=Σ_(j=0) ^(N-1) hjx(i−j)

The estimate in the above equation requires the calculation of theoptimum coefficients hj.

The optimal coefficients will minimize the mean square error (MSE)between the predicted and actual value and is obtained by solving theWeiner-Hoff equation.h=R ⁻¹ r

where R is N×N autocorrelation matrix of previous N frame transmittednon-HS power.

The calculation of prediction coefficients requires generation andinversion of autocorrelation matrix.

Since initially the autocorrelation values are not available, thegeneration of the matrix R is done only after transmitting a few hundredframes and keeping a record of the power transmitted.

The prediction of the fade power in the (i+2)th frame is done byrecursively using the equation whereby the past will now include thepower of (i+1)th frame.

Once the predicted non-HS channel transmit power is available the budgetfor HSDPA data channel power can be evaluated.

Transmitted power of each frame here is taken as the average of powertransmitted in the slots. There are 15 slots per frame.

Our invention helps in overcoming the two problems as mentioned in theprevious section. It not only helps to avoid saturation in DownlinkTransmit Signal, it also helps to optimally use the available power toreach maximum throughput.

FIG. 3 is an architecture diagram showing a power database 302 of theprevious 100 frames. The non-HS transmit power feedback for the currentframe from the physical layer 300 is used to update the database 301. Anautocorrelation matrix calculation and inversion 303 is applied to thelatest output from the power database 302. An equation is solved 304 toget the prediction coefficients. These are fed to a linear predictor 305for upcoming frame non-HS power. The HSDPA upcoming frame budgetcalculation is determined 306.

FIG. 4 is a diagram showing steps used for providing a power budget forHigh-Speed Downlink Packet Access (HSDPA) physical channels in aWideband Code Division Multiple Access (WCDMA) system. The mean andvariance is computed 400, then the compute headroom, using the mean andvariance is computed 401 and then the optimal power budget 402 isdetermined.

In one embodiment, the invention dynamically computes the Headroom valuevery frame based on the statistics of the previous Non_HSDPA_Powervalues.

It is observed from the lab experiments that the Non_HSDPA_Power valuesare random in nature and have a probability distribution function thatis close to Gaussian distribution with

Mean μ and variance σ².

The values μ and σ² vary depending on many parameters like channelconditions, number of active users, HSUPA load, mobility of the users.

We compute the Headroom value as followsHeadroom=ξ*mean(Non_HSDPA_Power)mean(Non_HSDPA_Power)=Σ_(k=0) ^(N-1)Non_HSDPA_Power(k)N defines the averaging periodξ=fn(σ²)

fn ( ) is a function that derives ξ based on the variance σ² ofNon_HSDPA_Power

Our invention helps in overcoming the two problems as mentioned in theprevious section. It not helps to avoid saturation in Downlink TransmitSignal, it also helps to optimally use the available power to reachmaximum throughput.

The foregoing discussion discloses and describes merely exemplaryembodiments of the present invention. As will be understood by thoseskilled in the art, the present invention may be embodied in otherspecific forms without departing from the spirit or essentialcharacteristics thereof. Various components in the devices describedherein may be added, removed, or substituted with those having the sameor similar functionality. Various steps as described in the figures andspecification may be added or removed from the processes describedherein, and the steps described may be performed in an alternativeorder, consistent with the spirit of the invention. Accordingly, thedisclosure of the present invention is intended to be illustrative, butnot limiting of the scope of the invention, as well as other claims. Thedisclosure, including any readily discernible variants of the teachingsherein, defines, in part, the scope of the foregoing claim terminology.

FIG. 5 is an enhanced eNodeB for performing the methods describedherein, in accordance with some embodiments. Mesh network node 500 mayinclude processor 502, processor memory 504 in communication with theprocessor, baseband processor 506, and baseband processor memory 508 incommunication with the baseband processor. Mesh network node 500 mayalso include first radio transceiver 512 and second radio transceiver514, internal universal serial bus (USB) port 516, and subscriberinformation module card (SIM card) 518 coupled to USB port 516. In someembodiments, the second radio transceiver 514 itself may be coupled toUSB port 516, and communications from the baseband processor may bepassed through USB port 516. The second radio transceiver may be usedfor wirelessly backhauling eNodeB 500.

Processor 502 and baseband processor 506 are in communication with oneanother. Processor 502 may perform routing functions, and may determineif/when a switch in network configuration is needed. Baseband processor506 may generate and receive radio signals for both radio transceivers512 and 514, based on instructions from processor 502. In someembodiments, processors 502 and 506 may be on the same physical logicboard. In other embodiments, they may be on separate logic boards.

Processor 502 may identify the appropriate network configuration, andmay perform routing of packets from one network interface to anotheraccordingly. Processor 502 may use memory 504, in particular to store arouting table to be used for routing packets. Baseband processor 506 mayperform operations to generate the radio frequency signals fortransmission or retransmission by both transceivers 510 and 512.Baseband processor 506 may also perform operations to decode signalsreceived by transceivers 512 and 514. Baseband processor 506 may usememory 508 to perform these tasks.

The first radio transceiver 512 may be a radio transceiver capable ofproviding LTE eNodeB functionality, and may be capable of higher powerand multi-channel OFDMA. The second radio transceiver 514 may be a radiotransceiver capable of providing LTE UE functionality. Both transceivers512 and 514 may be capable of receiving and transmitting on one or moreLTE bands. In some embodiments, either or both of transceivers 512 and514 may be capable of providing both LTE eNodeB and LTE UEfunctionality. Transceiver 512 may be coupled to processor 502 via aPeripheral Component Interconnect-Express (PCI-E) bus, and/or via adaughtercard. As transceiver 514 is for providing LTE UE functionality,in effect emulating a user equipment, it may be connected via the sameor different PCI-E bus, or by a USB bus, and may also be coupled to SIMcard 518. First transceiver 512 may be coupled to first radio frequency(RF) chain (filter, amplifier, antenna) 522, and second transceiver 514may be coupled to second RF chain (filter, amplifier, antenna) 524.

SIM card 518 may provide information required for authenticating thesimulated UE to the evolved packet core (EPC). When no access to anoperator EPC is available, a local EPC may be used, or another local EPCon the network may be used. This information may be stored within theSIM card, and may include one or more of an international mobileequipment identity (IMEI), international mobile subscriber identity(IMSI), or other parameter needed to identify a UE. Special parametersmay also be stored in the SIM card or provided by the processor duringprocessing to identify to a target eNodeB that device 500 is not anordinary UE but instead is a special UE for providing backhaul to device500.

Wired backhaul or wireless backhaul may be used. Wired backhaul may bean Ethernet-based backhaul (including Gigabit Ethernet), or afiber-optic backhaul connection, or a cable-based backhaul connection,in some embodiments. Additionally, wireless backhaul may be provided inaddition to wireless transceivers 512 and 514, which may be Wi-Fi802.11a/b/g/n/ac/ad/ah, Bluetooth, ZigBee, microwave (includingline-of-sight microwave), or another wireless backhaul connection. Anyof the wired and wireless connections described herein may be usedflexibly for either access (providing a network connection to UEs) orbackhaul (providing a mesh link or providing a link to a gateway or corenetwork), according to identified network conditions and needs, and maybe under the control of processor 502 for reconfiguration.

A GPS module 530 may also be included, and may be in communication witha GPS antenna 532 for providing GPS coordinates, as described herein.When mounted in a vehicle, the GPS antenna may be located on theexterior of the vehicle pointing upward, for receiving signals fromoverhead without being blocked by the bulk of the vehicle or the skin ofthe vehicle. Automatic neighbor relations (ANR) module 532 may also bepresent and may run on processor 502 or on another processor, or may belocated within another device, according to the methods and proceduresdescribed herein.

Other elements and/or modules may also be included, such as a homeeNodeB, a local gateway (LGW), a self-organizing network (SON) module,or another module. Additional radio amplifiers, radio transceiversand/or wired network connections may also be included.

In some embodiments, the base stations described herein may supportWi-Fi air interfaces, which may include one or more of IEEE802.11a/b/g/n/ac/af/p/h. In some embodiments, the base stationsdescribed herein may support IEEE 802.16 (WiMAX), to LTE transmissionsin unlicensed frequency bands (e.g., LTE-U, Licensed Access or LA-LTE),to LTE transmissions using dynamic spectrum access (DSA), to radiotransceivers for ZigBee, Bluetooth, or other radio frequency protocols,or other air interfaces.

In any of the scenarios described herein, where processing may beperformed at the cell, the processing may also be performed incoordination with a cloud coordination server. A mesh node may be aneNodeB. An eNodeB may be in communication with the cloud coordinationserver via an X2 protocol connection, or another connection. The eNodeBmay perform inter-cell coordination via the cloud communication server,when other cells are in communication with the cloud coordinationserver. The eNodeB may communicate with the cloud coordination server todetermine whether the UE has the ability to support a handover to Wi-Fi,e.g., in a heterogeneous network.

Although the methods above are described as separate embodiments, one ofskill in the art would understand that it would be possible anddesirable to combine several of the above methods into a singleembodiment, or to combine disparate methods into a single embodiment.For example, all of the above methods could be combined. In thescenarios where multiple embodiments are described, the methods could becombined in sequential order, or in various orders as necessary.

Although the above systems and methods for providing interferencemitigation are described in reference to the Long Term Evolution (LTE)standard, one of skill in the art would understand that these systemsand methods could be adapted for use with other wireless standards orversions thereof.

The word “cell” is used herein to denote either the coverage area of anybase station, or the base station itself, as appropriate and as would beunderstood by one having skill in the art. For purposes of the presentdisclosure, while actual PCIs and ECGIs have values that reflect thepublic land mobile networks (PLMNs) that the base stations are part of,the values are illustrative and do not reflect any PLMNs nor the actualstructure of PCI and ECGI values.

In the above disclosure, it is noted that the terms PCI conflict, PCIconfusion, and PCI ambiguity are used to refer to the same or similarconcepts and situations, and should be understood to refer tosubstantially the same situation, in some embodiments. In the abovedisclosure, it is noted that PCI confusion detection refers to a conceptseparate from PCI disambiguation, and should be read separately inrelation to some embodiments. Power level, as referred to above, mayrefer to RSSI, RSFP, or any other signal strength indication orparameter.

In some embodiments, the software needed for implementing the methodsand procedures described herein may be implemented in a high levelprocedural or an object-oriented language such as C, C++, C#, Python,Java, or Perl. The software may also be implemented in assembly languageif desired. Packet processing implemented in a network device caninclude any processing determined by the context. For example, packetprocessing may involve high-level data link control (HDLC) framing,header compression, and/or encryption. In some embodiments, softwarethat, when executed, causes a device to perform the methods describedherein may be stored on a computer-readable medium such as read-onlymemory (ROM), programmable-read-only memory (PROM), electricallyerasable programmable-read-only memory (EEPROM), flash memory, or amagnetic disk that is readable by a general or specialpurpose-processing unit to perform the processes described in thisdocument. The processors can include any microprocessor (single ormultiple core), system on chip (SoC), microcontroller, digital signalprocessor (DSP), graphics processing unit (GPU), or any other integratedcircuit capable of processing instructions such as an x86microprocessor.

In some embodiments, the radio transceivers described herein may be basestations compatible with a Long Term Evolution (LTE) radio transmissionprotocol or air interface. The LTE-compatible base stations may beeNodeBs. In addition to supporting the LTE protocol, the base stationsmay also support other air interfaces, such as UMTS/HSPA, CDMA/CDMA2000,GSM/EDGE, GPRS, EVDO, other 3G/2G, legacy TDD, or other air interfacesused for mobile telephony.

In some embodiments, the base stations described herein may supportWi-Fi air interfaces, which may include one or more of IEEE802.11a/b/g/n/ac/af/p/h. In some embodiments, the base stationsdescribed herein may support IEEE 802.16 (WiMAX), to LTE transmissionsin unlicensed frequency bands (e.g., LTE-U, Licensed Access or LA-LTE),to LTE transmissions using dynamic spectrum access (DSA), to radiotransceivers for ZigBee, Bluetooth, or other radio frequency protocols,or other air interfaces.

The foregoing discussion discloses and describes merely exemplaryembodiments of the present invention. In some embodiments, softwarethat, when executed, causes a device to perform the methods describedherein may be stored on a computer-readable medium such as a computermemory storage device, a hard disk, a flash drive, an optical disc, orthe like. As will be understood by those skilled in the art, the presentinvention may be embodied in other specific forms without departing fromthe spirit or essential characteristics thereof. For example, wirelessnetwork topology can also apply to wired networks, optical networks, andthe like. The methods may apply to LTE-compatible networks, toUMTS-compatible networks, or to networks for additional protocols thatutilize radio frequency data transmission. Various components in thedevices described herein may be added, removed, split across differentdevices, combined onto a single device, or substituted with those havingthe same or similar functionality.

Although the present disclosure has been described and illustrated inthe foregoing example embodiments, it is understood that the presentdisclosure has been made only by way of example, and that numerouschanges in the details of implementation of the disclosure may be madewithout departing from the spirit and scope of the disclosure, which islimited only by the claims which follow. Various components in thedevices described herein may be added, removed, or substituted withthose having the same or similar functionality. Various steps asdescribed in the figures and specification may be added or removed fromthe processes described herein, and the steps described may be performedin an alternative order, consistent with the spirit of the invention.Features of one embodiment may be used in another embodiment. Otherembodiments are within the following claims.

The invention claimed is:
 1. A method for determining a power budget for physical channels in a cellular network, comprising: receiving, at a transmit processing chain of a base station of the cellular network, transmit data, power data and other transmit parameters from a scheduler; obtaining a mean and a variance of a previously computed power component; determining an estimate of a current power component in a current frame based on the mean and the variance of the previously computed power component by multiplying a variance value by a mean of the current power component; and computing a power budget in a current frame using the estimate of the current power component by subtracting the estimate of the current power component from a maximum transmit power value.
 2. The method of claim 1, wherein determining the mean of the current power component comprises taking a summation for an averaging period of the current power measurement.
 3. The method of claim 2, wherein determining the variance value comprises providing a function that derives the variance value based on a variance of the current power component.
 4. A non-transitory computer-readable medium containing instructions for determining a power budget for physical channels in a cellular network, the instructions comprising: receiving, at a transmit processing chain of a base station of the cellular network, transmit data, power data and other transmit parameters from a scheduler; obtaining a mean and a variance of a previously computed power component; determining an estimate of a current power component in a current frame based on the mean and the variance of the previously computed power component by multiplying a variance value by a mean of the current power component; and computing a power budget in a current frame using the estimate of the current power component by subtracting the estimate of the current power component from a maximum transmit power value.
 5. The non-transitory computer-readable medium of claim 4, wherein determining the mean of the current power component comprises taking a summation for an averaging period of the current power measurement.
 6. The non-transitory computer-readable medium of claim 5, wherein determining the variance value comprises providing a function that derives the variance value based on a variance of the current power component.
 7. The non-transitory computer-readable medium of claim 6, wherein the power budget is for High-Speed Downlink Packet Access (HSDPA) physical channels in a Wideband Code Division Multiple Access (WCDMA) system.
 8. The non-transitory computer-readable medium of claim 7, the instructions further comprising determining the power budget for High-Speed Downlink Packet Access (HSDPA) physical channels for every frame.
 9. The non-transitory computer-readable medium of claim 8, wherein the values of the mean and the variance vary depending on different parameters, and wherein the parameters include at least one of channel conditions, a number of active users, High Speed Uplink Packet Access (HSUPA) load, and a mobility of users. 